Brain Tumor Segmentation

What is Brain Tumor Segmentation ?

Brain Tumor Segmentation is a medical imaging tool designed to detect and analyze tumors in brain images. It uses advanced AI algorithms to identify abnormalities and provide detailed insights, aiding in diagnosis, treatment planning, and monitoring. This technology is particularly useful for neurologists, radiologists, and oncologists to process MRI or CT scans efficiently.

Features

• Automatic tumor detection: Quickly identifies tumor regions in brain images.
• Multi-modal support: Works with various imaging modalities like MRI (T1, T2, FLAIR) and CT scans.
• Quantitative analysis: Provides metrics such as tumor size, volume, and growth patterns.
• Advanced visualization: Generates clear and detailed segmentation maps for better understanding.
• User-friendly interface: Designed for ease of use, even for non-experts.

How to use Brain Tumor Segmentation ?

1. Upload imaging data: Load brain scans (e.g., MRI or CT images) into the tool.
2. Select imaging modality: Choose the type of scan (e.g., T1-weighted MRI).
3. Run segmentation analysis: Initiate the AI-powered segmentation process.
4. Review results: Examine the highlighted tumor regions and associated metrics.
5. Download reports: Export detailed findings for further analysis or documentation.

Frequently Asked Questions

What imaging modalities does Brain Tumor Segmentation support?
The tool supports MRI (T1, T2, FLAIR) and CT scans. Support for other modalities may vary.

How accurate is the segmentation process?
The accuracy depends on image quality and modality. MRI scans generally yield higher accuracy due to better tissue contrast.

Can non-experts use Brain Tumor Segmentation?
Yes, the tool is designed with a user-friendly interface, making it accessible to non-experts while still providing advanced functionality.